Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions.

To address this, researchers have developed multiclass anomaly detection algorithms that combine NSA with clonal selection algorithms (CSA) to improve classification accuracy and reduce runtime in ...

Unlike conventional black-box AI models that flag anomalies without explanation, IFAT produces decision trees that map the ...

Numenta, a leader in machine intelligence, today announced the Numenta Anomaly Benchmark (NAB), an open-source benchmark and tool to enable data researchers to evaluate anomaly detection algorithms.

Anomaly detection is the process of finding and identifying point, contextual or collective anomalies that fall outside the bounds of defined policies. Detection itself is only the first step; further ...

This integrated engine aggregates multiple data sources and deploys cutting-edge machine learning and anomaly detection algorithms to create a powerful signal to detect fraud.

The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection systems.